Multimodal Diagnosis of COVID-19 Using Deep Wavelet Scattering Networks

Author:

Zewail Rami

Publisher

Springer International Publishing

Reference34 articles.

1. WHO. (2021). COVID Live Update: 234,115,587 cases and 4,788,923 deaths from the Coronavirus Worldometer. https://www.worldometers.info/coronavirus/

2. WHO. (2021). Use of chest imaging in COVID-19: A rapid advice guide: Web annex B: Grade evidence-to-decision tables. https://apps.who.int/iris/handle/10665/332327

3. Purohit, K., et al. (2020). COVID-19 detection on chest X-ray and CT scan images using multi-image augmented deep learning model. https://doi.org/10.1101/2020.07.15.205567; bioRxiv 2020.07.15.205567.

4. Roberts, M., Driggs, D., & Thorpe, M. Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans. Nature Machine Intelligence, 3(3), 199–217. https://doi.org/10.1038/s42256-021-00307-0

5. Ilyas, M., Rehman, H., & Naït-Ali, A. (2020). Detection of Covid-19 from chest X-ray images using artificial intelligence: An early review. https://arxiv.org/abs/2004.05436

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